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A lively discussion has ignited on Reddit’s r/artificial, questioning whether the intense focus on Artificial General Intelligence (AGI) is truly the most effective path forward for AI development. User /u/Any_Resist_6613 sparked the debate, suggesting that the pursuit of AGI may be diverting resources from more immediately beneficial narrow AI applications. The argument highlights instances where specialized narrow AI models are already outperforming general models in specific tasks. The poster proposes that re-allocating resources to enhance narrow AI and optimize existing large language models (LLMs), without striving for overwhelming complexity, could yield faster and more practical advancements. Simpler alignment is also noted in narrow and less ambitious general models. The full Reddit thread can be found at https://old.reddit.com/r/artificial/comments/1m9jchs/why_are_we_chasing_agi/